Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Alamouti telpas-laika bloku kods× | Šenona kanāla ietilpības teorēma× | |
|---|---|---|
| Nozare | Telekomunikācijas | Telekomunikācijas |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1998 | 1948 |
| Autors≠ | Siavash Alamouti | Claude Shannon |
| Tips≠ | space-time coding scheme | fundamental theoretical bound |
| Pirmavots≠ | Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16(8), 1451-1458. DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423. DOI ↗ |
| Citi nosaukumi | space-time coding, transmit diversity | channel capacity, information theory bound |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | The Alamouti code is an elegant space-time coding scheme that provides full transmit diversity using two antennas and a simple linear receiver. Introduced by Siavash Alamouti in 1998, it requires no channel state information at the transmitter, achieves the same bit-error rate as a single-antenna system with receiver diversity, and uses linear processing for decoding. The Alamouti code has become the de facto standard for transmit diversity in cellular systems and is adopted in LTE, WiFi, and many 5G protocols. | Shannon's channel capacity theorem, published in 1948, establishes the maximum rate at which information can be reliably transmitted over a noisy channel. Expressed as C = B log2(1 + S/N) for additive white Gaussian noise (AWGN), it is a fundamental bound in information theory and communications engineering. Shannon proved that reliable communication is possible at any rate below capacity, and impossible above it. This theorem underpins the design of all modern communication systems and motivates coding theory, modulation, and signal processing techniques. |
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